scholarly journals Adding New Dimensions

2021 ◽  
pp. 51-70
Author(s):  
Guillaume Marois ◽  
Samir KC
Keyword(s):  
Statistical Modeling ◽  
Labour Force ◽  
Labour Force Participation ◽  
Two Dimensions ◽  
Individual Characteristics ◽  
Direct Impact ◽  
Microsimulation Model ◽  
Projection Model ◽  
Regression Parameters ◽  
New Variables

AbstractThis chapter shows how implementing new dimensions into the microsimulation model. As examples, we add two dimensions that can hardly be implemented in a classical projection model: the labour force participation and the sector of activity (formal/informal). Those modules are implemented through statistical modeling using regression parameters. They use as predictors individual characteristics, such as age, sex, region, education, and for women, a binary variable indicating if she gave birth to a child within the last five years. Those two new variables are thus dynamically implemented, as assumptions on fertility have a direct impact on their outcomes.

scholarly journals The relation between education and labour force participation of Aboriginal peoples: A simulation analysis using the Demosim population projection model

2014 ◽  
Vol 41 (1-2) ◽  
pp. 144 ◽  
Author(s):  
Martin Spielauer
Keyword(s):  
Simulation Analysis ◽  
Labour Force ◽  
Labour Force Participation ◽  
Population Projection ◽  
Aboriginal Peoples ◽  
Projection Model

The relation between education and labour force participation of Aboriginal peoples: A simulation analysis using the Demosim population projection model

scholarly journals Building Alternative Scenarios

2021 ◽  
pp. 71-79
Author(s):  
Guillaume Marois ◽  
Samir KC
Keyword(s):  
Young Children ◽  
Labour Force ◽  
Participation Rate ◽  
Labour Force Participation ◽  
Participation Rates ◽  
Link Type ◽  
Regression Parameters ◽  
Alternative Scenarios ◽  
At Home

AbstractNew dimensions added in the projection models in Chap. 10.1007/978-3-030-79111-7_4, the labour force participation and the sector of activity, are modelled using regression parameters. In this chapter, we show how building alternative scenarios with this type of inputs. In the first example, we test an assumption in which women with young children at home have the same participation rate as other women. The second example, we test a scenario in which labour force participation rates of women gradually increase and reach those of men by 2060. The code to implement those alternative scenarios is explained, and some results are presented.

Elder care and paid work: gender differences in the relationship between unpaid elder care work and employment in Bulgaria

2021 ◽  
pp. 095892872097418
Author(s):  
Mieke Meurs ◽  
Lisa Giddings
Keyword(s):  
Elder Care ◽  
Negative Impact ◽  
Labour Force ◽  
Family Care ◽  
Labour Force Participation ◽  
The Elderly ◽  
Individual Characteristics ◽  
Reverse Causality ◽  
Care Policy ◽  
The Impact

Care of elderly family members affects the welfare of the elderly and caregivers and has macroeconomic implications. In Eastern Europe, aging populations combined with under-developed care policy increase family care burdens, but the impact of care on labour force participation is understudied in this context. Using two waves of the Generations and Gender survey, we estimate the impact of care demand on paid employment in Bulgaria. We find that living with an elderly or disabled parent has a negative impact on employment for women and that this impact cannot be explained by reverse causality or unobserved individual characteristics. More developed care policy would benefit caregivers and would be likely to generate broader fiscal benefits.

scholarly journals Quantifying the effect of early retirement on the wealth of individuals with depression or other mental illness

2011 ◽  
Vol 198 (2) ◽  
pp. 123-128 ◽  
Author(s):  
Deborah J. Schofield ◽  
Rupendra N. Shrestha ◽  
Richard Percival ◽  
Simon J. Kelly ◽  
Megan E. Passey ◽  
...  
Keyword(s):  
Mental Illness ◽  
Labour Force ◽  
Financial Burden ◽  
Labour Force Participation ◽  
Chronic Health Condition ◽  
Mental Illnesses ◽  
Microsimulation Model ◽  
Home Equity ◽  
Cross Sectional ◽  
The Impact

BackgroundIn addition to the health burden caused by mental illnesses, these conditions contribute to economic disadvantage because of their impact on labour force participation.AimsTo quantify the cost of lost savings and wealth to Australians aged 45–64 who retire from the labour force early because of depression or other mental illness.MethodCross-sectional analysis of the base population of Health&WealthMOD, a microsimulation model built on data from the Australian Bureau of Statistics' Survey of Disability, Ageing and Carers and STINMOD, an income and savings microsimulation model.ResultsPeople who are not part of the labour force because of depression or other mental illness have 78% (95% CI 92.2–37.1) and 93% (95% CI 98.4–70.5) less wealth accumulated respectively, compared with people of the same age, gender and education who are in the labour force with no chronic health condition. People who are out of the labour force as a result of depression or other mental illness are also more likely to have the wealth that they do have in cash assets, rather than higher-growth assets such as superannuation, home equity and other financial investments.ConclusionsThis lower accumulated wealth is likely to result in lower living standards for these individuals in the future. This will compound the impact of their condition on their health and quality of life, and put a large financial burden on the state as a result of the need to provide financial assistance for these individuals.

scholarly journals Prevalence of activities in later life across European regions

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Martin Lakomý
Keyword(s):  
Physical Activity ◽  
Labour Force ◽  
Vigorous Physical Activity ◽  
Later Life ◽  
Labour Force Participation ◽  
Individual Characteristics ◽  
Active Ageing ◽  
European Regions ◽  
Descriptive Data ◽  
Level Of Education

AbstractThe active ageing policy supports several types of activities, including labour force participation, caregiving, social participation, and physical activity. The paper illustrates the prevalence of supported activities across individual characteristics and four supra-national European regions to assess how these activities are available for specific groups of older people. The analysis draws on wave 6 from the Survey of Health, Ageing and Retirement in Europe held in 2015. A set of figures describes the availability of activities sorted by gender, age, health status, and the level of education in 17 European countries divided into four regions, and thus, presents the unavailable descriptive data important for researchers and policymakers. The results most of all show that the majority of the 50+ population engages in vigorous physical activity, whilst labour force participation and caregiving concern about one-third of it, and other activities much less. The findings show the inadequacy of the active ageing as a uniform context-insensitive EU policy and detect its potential for raising inequalities in later life, whilst the theoretical implications are discussed.

scholarly journals Productivity costs of cardiovascular disease mortality across disease types and socioeconomic groups

Open Heart ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. e000939 ◽  
Author(s):  
Hannah Elizabeth Carter ◽  
Deborah Schofield ◽  
Rupendra Shrestha
Keyword(s):  
Cardiovascular Disease ◽  
Heart Disease ◽  
Labour Force ◽  
Premature Mortality ◽  
Labour Force Participation ◽  
Individual Characteristics ◽  
Policy Implications ◽  
Time Of Death ◽  
Productivity Costs ◽  
Socioeconomic Groups

BackgroundCardiovascular disease (CVD) is the single largest contributor to global mortality. Premature mortality due to CVD results in a loss of productivity, with associated economic and policy implications that are often overlooked.MethodsA human capital approach was adopted to project the long-term impacts of Australian CVD deaths in 2003 on labour force participation and the present value of lifetime income (PVLI) forgone. Impacts were modelled to the year 2030 and accounted for individual characteristics at the time of death including age, sex and socioeconomic status.ResultsPremature deaths due to CVD in 2003 accounted for 51 659 working years and $2.69 billion in PVLI forgone when modelled to 2030 (95% CI $2.63 billion to $2.75 billion). The labour force impacts were highest for individuals aged between 35 and 64 at the time of death, and male deaths accounted for 87% of the total PVLI loss. The most costly disease type was ischaemic heart disease, followed by stroke and inflammatory heart disease. Deaths occurring in individuals residing in the most socioeconomically disadvantaged areas at the time of death had a disproportionately large impact on the total PVLI loss.ConclusionsThis study quantifies the relative productivity costs of CVD mortality across a range of disease types and socioeconomic groups. The magnitude of these costs highlights the scope for investments in effective healthcare interventions to provide positive economic returns and may assist decision makers in allocating resources among competing priorities.

scholarly journals The economic impact of diabetes through lost labour force participation on individuals and government: evidence from a microsimulation model

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Deborah Schofield ◽  
Michelle M Cunich ◽  
Rupendra N Shrestha ◽  
Megan E Passey ◽  
Lennert Veerman ◽  
...  
Keyword(s):  
Economic Impact ◽  
Labour Force ◽  
Labour Force Participation ◽  
Microsimulation Model

Employment Pattern and Extent of Under-utilisation of Manpower in Rural Baran; Areas of Pakistan

1993 ◽  
Vol 32 (4II) ◽  
pp. 1225-1233
Author(s):  
Sabur Ghayur
Keyword(s):  
Crop Production ◽  
Labour Force ◽  
Research Work ◽  
Labour Force Participation ◽  
Hydroelectric Power ◽  
Economic Activities ◽  
North West ◽  
North West Frontier Province ◽  
Physical Infrastructure ◽  
Employment Pattern

The barani (rain-fed) region accounts for about a fifth of the cultivated area in Pakistan. It has the potential to significantly increase crop production levels. Similarly, considerable scope exists in this area for the development of forests, fruit and vegetable gardening, pasture and stock rearing. Most of the natural resources are also found in this tract. Its hilly areas possess a vast potential for tourism. Besides, significant opportunities exist for irrigation and hydroelectric power generation. An optimum utilisation of all this potential, obviously, is employmentgenerating and income-augmenting. Despite all such realisations this region as a whole, unfortunately, is identified as the least attended to area in terms of provision of socio-physical infrastructure, other development programmes and, even, research work. This led to a deterioration of the employment situation in the barani region as a whole. A poor information base and analysis thereof on employment and manpower related variables is also the consequence of such a treatment to this area. I This paper, using the data of a field survey, tries to fill, though partly, the vacuum on employment and related variables in the rural barani region. An attempt is made here to record and analyse the labour force participation rates, employment pattern (main economic activities) and unemployment/underemployment levels prevailing in the rural baran; areas of the provinces of the Punjab and North-West Frontier Province (NWFP).

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